Targeted Advertising Based On License Plate Recognition

1. A method comprising: receiving a first plurality of license plate recognition instances including a license plate number associated with each of a first plurality of moving vehicles passing a first fixed location and a time when an amount of image information associated with each of the first plurality of moving vehicles was captured from the first fixed location; determining a demographic attribute associated with a likely occupant of each of the first plurality of moving vehicles based at least in part on the license plate number associated with each of the first plurality of moving vehicles; and determining a first demographic profile of the first plurality of moving vehicles passing the first fixed location based on the demographic attributes associated with each of the first plurality of moving vehicles.

2. The method of claim 1 , further comprising: selecting an amount of media content for presentation based at least in part on the determined demographic profile.

3. The method of claim 2 , wherein the selecting of the amount of media content for presentation is based at least in part on the first determined demographic profile, and wherein the selecting of the amount of media content for presentation is based at least in part on an amount of media content previously selected.

4. The method of claim 1 , further comprising: capturing the amount of image information associated with each of the first plurality of moving vehicles from the first fixed location and the time of capture of the amount of image information; and determining the license plate number associated with each of the first plurality of moving vehicles based on the amount of image information.

5. The method of claim 4 , wherein the determining of the demographic attribute associated with the likely occupant of each of the first plurality of moving vehicles involves publically available demographic information identified with the determined characteristic of each of the first plurality of moving vehicles.

6. The method of claim 1 , further comprising: determining a characteristic of each of the first plurality of moving vehicles based on the amount of image information.

7. The method of claim 6 , wherein the characteristic of each of the first plurality of moving vehicles is any of a make and model of the moving vehicle, a classification of the moving vehicle, and a color of the moving vehicle.

8. The method of claim 1 , further comprising: presenting the amount of selected media content on a display system.

9. The method of claim 1 , wherein the determining of the demographic attribute associated with the likely occupant of each of the first plurality of moving vehicles involves publically available demographic information identified with the license plate number associated with each of the first plurality of moving vehicles.

10. The method of claim 9 , wherein the determining of the first demographic profile involves a predetermined number of different license plate recognition instances.

11. The method of claim 9 , wherein the determining of the first demographic profile involves a plurality of different license plate recognition instances within a predetermined period of time.

12. The method of claim 1 , further comprising: receiving a second plurality of license plate recognition instances including a license plate number associated with each of a second plurality of moving vehicles passing a second fixed location and a time when an amount of image information associated with each of the second plurality of moving vehicles was captured from the second fixed location; determining a demographic attribute associated with a likely occupant of each of the second plurality of moving vehicles based at least in part on the license plate number associated with each of the second plurality of moving vehicles; determining a second demographic profile of the second plurality of moving vehicles passing the second fixed location based on the demographic attributes associated with each of the second plurality of moving vehicles; and determining a relative value of each of the first and second fixed locations with respect to particular advertising content based on the first and second demographic profiles.

13. A non-transitory, computer-readable medium, comprising: code for causing a computer to receive a plurality of license plate recognition instances including a license plate number associated with each of a plurality of moving vehicles passing a fixed location and a time when an amount of image information associated with each of the plurality of moving vehicles was captured from the fixed location; code for causing the computer to determine a demographic attribute associated with a likely occupant of each of the plurality of moving vehicles based at least in part on the license plate number associated with each of the plurality of moving vehicles; code for causing the computer to determine a demographic profile of the plurality of moving vehicles passing the fixed location based on the demographic attributes associated with each of the plurality of moving vehicles; and code for causing the computer to select an amount of media content for presentation based at least in part on the determined demographic profile.

14. The non-transitory, computer-readable medium of claim 13 , further comprising: code for causing the computer to communicate content display instructions to a display system, wherein the content display instructions cause the display system to present the amount of selected media content on the display system.

15. The non-transitory, computer-readable medium of claim 13 , wherein the determining of the demographic attribute associated with each of the plurality of moving vehicles is based on publically available demographic information identified with the license plate number of each of the plurality of moving vehicles.

16. The non-transitory, computer-readable medium of claim 13 , wherein the selecting the amount of media content for presentation involves a score indicative of a match between the media content and the determined demographic profile.

17. A License Plate Recognition (LPR) based media presentation system comprising: a License Plate Recognition (LPR) module operable to determine a license plate number associated with each of a plurality of moving vehicles passing a fixed location; a LPR based demography module operable to determine a demographic attribute associated with a likely occupant of each of the plurality of moving vehicles based at least in part on the license plate number associated with each of the plurality of moving vehicles and determining a demographic profile of the plurality of moving vehicles passing the fixed location based on the demographic attributes associated with each of the plurality of moving vehicles; and a content mapping module operable to determine an amount of media content for presentation based at least in part on the determined demographic profile.

18. The LPR based media presentation system of claim 17 , further comprising: a display module that presents the amount of media content determined by the content mapping module.

19. The LPR based media presentation system of claim 17 , wherein the LPR based demography module determines the demographic attribute associated with the likely occupant of each of the plurality of moving vehicles based on publically available demographic information identified with the license plate number.